This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Trending AI pulls GitHub Trending, Hacker News and Product Hunt into one open-source app. An LLM scores the noise and picks a few items a day, each with a short structured take: why it matters, what it's for, and the alternatives. English or Chinese, your choice. Built entirely in Kotlin Multiplatform, MIT licensed. Android is shipping on Play and F-Droid; iOS compiles and runs but isn't polished yet.
Fun fact: Trending AI has been reading the PH daily leaderboard since day one — so today it's on the other side of the feed. :)
I built it to fix my own mornings: skimming GitHub Trending, Hacker News and Product Hunt to find what's actually worth reading. The app pulls from all three (PH via the official API), and an LLM picks a handful of items a day — each with a short structured take: why it matters, what it's for, the alternatives. English or Chinese, your choice.
Honest status: Android is shipping (Play, F-Droid, GitHub). iOS compiles and runs in the simulator but isn't polished yet — the whole client is one Kotlin Multiplatform codebase with Compose Multiplatform UI, MIT licensed.
Would love feedback — especially from fellow PH lurkers on whether the daily picks match what you'd have clicked anyway.
Cool approach, love that it's Kotlin Multiplatform and open source. One thing that would help me a lot: let me star or save the picks I actually click through on, so the LLM learns what kind of stuff I care about and the daily shortlist gets more tailored over time.
The kmp stack is nice and it actually feels lighter than my usual feed reader, though the summaries can be a bit surface-level for niche repos.
About Trending AI on Product Hunt
“Global tech trends, fast-picked by AI.”
Trending AI was submitted on Product Hunt and earned 5 upvotes and 5 comments, placing #159 on the daily leaderboard. Trending AI pulls GitHub Trending, Hacker News and Product Hunt into one open-source app. An LLM scores the noise and picks a few items a day, each with a short structured take: why it matters, what it's for, and the alternatives. English or Chinese, your choice. Built entirely in Kotlin Multiplatform, MIT licensed. Android is shipping on Play and F-Droid; iOS compiles and runs but isn't polished yet.
Trending AI was featured in Android (57.4k followers), Open Source (68.6k followers), Developer Tools (516.2k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 159.4k products, making this a competitive space to launch in.
Who hunted Trending AI?
Trending AI was hunted by wang jack. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Trending AI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
wang jack
Hi Product Hunt!
Fun fact: Trending AI has been reading the PH daily leaderboard since day one — so today it's on the other side of the feed. :)
I built it to fix my own mornings: skimming GitHub Trending, Hacker News and Product Hunt to find what's actually worth reading. The app pulls from all three (PH via the official API), and an LLM picks a handful of items a day — each with a short structured take: why it matters, what it's for, the alternatives. English or Chinese, your choice.
Honest status: Android is shipping (Play, F-Droid, GitHub). iOS compiles and runs in the simulator but isn't polished yet — the whole client is one Kotlin Multiplatform codebase with Compose Multiplatform UI, MIT licensed.
Would love feedback — especially from fellow PH lurkers on whether the daily picks match what you'd have clicked anyway.
Repo: https://github.com/HarlonWang/TrendingAI